Abstract
This paper outlines the results of successful research into the production of four legged gaits in robots using Evolutionary Artificial Neural Networks. The system is based on a hierarchical model outlined in previous work and a new neuron model has been developed for use in the system. The ANNs are combined in a flexible manner to control the gait of an animat during locomotion. © Springer-Verlag Berlin Heidelberg 2002.
Cite
CITATION STYLE
McMinn, D., Maxwell, G., & MacLeod, C. (2002). Evolutionary Artificial Neural Networks for quadruped locomotion. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2415 LNCS, pp. 789–794). Springer Verlag. https://doi.org/10.1007/3-540-46084-5_128
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